Publikationen von Yue Li

Zhang, J.; Zhou, D.; Pang, X.; Zhang, B.; Li, Y.; Sun, B.; Valiev, R. Z.; Zhang, D.: Deformation-induced concurrent formation of 9R phase and twins in a nanograined aluminum alloy. Acta Materialia 244, 118540 (2023)

Zhou, D.; Zhang, X.; Wang, H.; Li, Y.; Sun, B.; Zhang, D.: Influence of Mg on tensile deformation behavior of high Mg-content Al–Mg alloys. International Journal of Plasticity 157, 103405 (2022)

Gault, B.; Klaes, B.; Morgado, F. F.; Freysoldt, C.; Li, Y.; De Geuser, F.; Stephenson, L.; Vurpillot, F.: Reflections on the Spatial Performance of Atom Probe Tomography in the Analysis of Atomic Neighborhoods. Microscopy and Microanalysis 28 (4), S. 1116 - 1126 (2022)

Li, Y.; Zhou, X.; Colnaghi, T.; Wei, Y.; Marek, A.; Li, H.; Bauer, S.; Rampp, M.; Stephenson, L.: Convolutional neural network-assisted recognition of nanoscale L1₂ ordered structures in face-centred cubic alloys. npj Computational Materials 7 (1), 8 (2021)

Zhao, Y.; Fantin, A.; Li, Y.; Li, T.; Gong, Y.: Quantifying chemical short-range order and local lattice distortion in Ti–Zr–Nb alloys. DPG Spring Meeting of the Condensed Matter Section, Dresden, Germany (2026)

Li, Y.; Gault, B.: Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloy. TMS 2023, San Diego, CA, USA (2024)

Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. DPG 2024, Berlin, Germany (2024)

Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. TMS 2024, Orlando, FL, USA (2024)

Li, Y.; Gault, B.: Machine learning-enabled tomographic imaging of chemical short-range ordering in CoCrNi alloys. APT&M 2023, Leuven, Belgium (2023)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order. APT&M 2022, Online (2022)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order. Materials Science and Engineering (MSE) Congress 2022, Darmstadt Germany (2022)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. BiGmax Spring Meeting 2022, Bochum, Germany (2022)

Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order in Fe–18Al. TMS 2022, Online (2022)

Li, Y.; Gault, B.: Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. Materials Oceania 2021, Online (2021)

Li, Y.; Gault, B.: Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. TMS 2021, Online (2021)

Li, Y.; Stephenson, L.; Zhou, X.; Colnaghi, T.; Marek, A.; Bauer, S.; Rampp, M.; Raabe, D.; Gault, B.: Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys. BIGmax workshop 2020, online, Düsseldorf, Germany (2020)